Abstract: Disclosed herein are methods and systems for anomaly detection within a field using images or sensor data. An anomaly detection process determines whether a pixel or a cluster of pixels fit within calculated or modeled expectations to identify an anomaly. The process can further analyze the anomaly to determine a likely cause. Example anomaly detection techniques account for intra-field inhomogeneity and for non-crop regions. Example anomaly detection techniques also can identify anomalous regions.
Type:
Grant
Filed:
September 29, 2016
Date of Patent:
September 18, 2018
Assignee:
CHS North LLC
Inventors:
Jerry D. Tagestad, Chris Rushing, Josh Brungardt, Chris Joyce, Bjorn Roth